Bayesian Analysis for the Difference of Two Proportions Using R

Authors

  • Hugo Andrés Gutiérrez Rojas Centro de Investigaciones y Estudios Estadísticos (CIEES) Universidad Santo Tomás (Bogotá)
  • Hanwen Zhang Centro de Investigaciones y Estudios Estadísticos (CIEES) Universidad Santo Tomás (Bogotá)

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.2129

Keywords:

Estimación, funciones en R, inferencia bayesiana, proporciones, Bayesian inference, estimation, proportions, R functions

Abstract

In this paper we present a collection of functions that can be used to implement a comprehensive Bayesian analysis of a difference of two proportions. For instance, point estimation, credibility intervals and predictive inference are discussed in both scenarios, the priori and posteriori exact densities (based in the first Appell hypergeometric function) and the simulated densities (based in a Markov chain Monte Carlo algorithm). We have chosen to implement the suite of functions using the R statistical software because it is freely available, runs on multiple platforms and allows to compress the functions into a single computational object named “package”.

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Author Biography

Hugo Andrés Gutiérrez Rojas, Centro de Investigaciones y Estudios Estadísticos (CIEES) Universidad Santo Tomás (Bogotá)


References

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Published

2016-11-04

How to Cite

Gutiérrez Rojas, H. A., & Zhang, H. (2016). Bayesian Analysis for the Difference of Two Proportions Using R. Journal of Quantitative Methods for Economics and Business Administration, 8, Páginas 50 a 70. https://doi.org/10.46661/revmetodoscuanteconempresa.2129

Issue

Vol. 8 (2009)

Section

Articles

License

Copyright (c) 2009 Revista de Métodos Cuantitativos para la Economía y la Empresa

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